Auctus.
Close ✕

Your practice CEO.

Book a meeting →

Your Denials Aren’t Random. Three Payer-Code Combos Are Eating Your AR.

August 19, 2026
Start here

The short version

The whole change in a few lines.
  • A denied claim costs you twice — about $25 to rework one vs. roughly $6 for a claim that stays clean — and around 65% of denials are never reworked at all, so they become write-offs.
  • Denials aren’t random: pull 90 days of them and generally 2-3 payer-and-code combinations drive most of the total.
  • Two spreadsheets find them — a denial root-cause log (tag by cause) and a 5×10 payer-behavior grid (flag any cell over 15%).
  • Add a short pre-submission review on those specific combos. The cheapest denial is the one that never leaves your building.
Key figures: $25+ To rework one denied claim, ~65% Of denials never reworked, 2–3 Combos = most of your denials
In this article — jump to
The Rework Trap

Reworking denials costs $25 a claim — and most never come back

Every denial you rework is money you already spent, spent again. Most of them, you never earn at all.

A denied claim costs you twice. Once to file it, again to fix it. Reworking one runs about $25 — more when it turns into a coding fight or an appeal — against roughly $6 for a claim that goes out clean and stays clean, per MGMA benchmarking.

Now the part that actually hurts. Generally speaking, around 65% of denied claims are never reworked at all. They age out, hit timely filing, and get written off — revenue you earned once and then handed back.

For the practice owner, that’s the number that never rings a bell, because a write-off doesn’t announce itself. For the biller, it’s the pile that never shrinks no matter how late you stay. Same leak, two seats.

Reactive denial work is a treadmill with a hole in it. The fix isn’t working the pile faster. It’s shrinking the pile before it forms.

Not Bad Luck

Denials aren’t random: two or three payer-code combos drive most of them

Denials feel like a thousand small fires. They’re usually three.

Denials look random from inside the queue. They aren’t. Pull ninety days of them and the same handful keeps showing up — generally two or three payer-and-code combinations account for the bulk of the total.

In a dermatology or plastics practice, you already suspect which ones. A modifier 25 that one payer won’t honor unless the note is structured its way. A lesion removal that keeps bouncing on medical necessity because benign and suspicious got coded the same. (Per-code documentation checklists: the Medical Necessity tool on Billing IQ, free.) A cosmetic-versus-functional fight on the same CPT, every time, with the same plan.

That’s the whole game. A denial you can name is a denial you can stop. The reason the pile feels infinite is that nobody has ever counted it — so every denial looks new, when most are the same three wearing different claim numbers.

Count them once. The list is shorter than the queue makes it feel.

Quote: You don't have a denial problem. You have three of them — and you already know their names.
Four Buckets

The denial root-cause log: tag 90 days of denials in four buckets

Two hours with a spreadsheet tells you where 80% of the leak is.

Here’s the first tool, and it’s a spreadsheet, not software. Pull your last ninety days of denials. Tag each one with a single cause: coding error, payer rule, timely filing, or medical necessity. Then add up the percentages.

In about two hours you’ll know where the money actually goes. Most practices find 60 to 70% of their denials trace to two or three payer-plus-code combinations — and the rest is noise you can ignore for now.

One tag per denial, no debating edge cases — put the borderline ones in the bucket that would have prevented it. A perfect taxonomy isn’t the point. The point is that by the end of the afternoon you’re holding a ranked list of what to fix instead of a queue of what to rework.

Rank that list by dollars, not by count. The combo denying forty $90 claims matters less than the one denying eight $2,000 ones.

Five by Ten

The payer behavior matrix: a 5×10 grid that finds your worst combos

Your top 5 payers and top 10 codes are 70-80% of your book. Watch those cells.

Second tool, same spirit. Build a grid — your top five payers across the top, your top ten code families down the side. Fill each cell with that combination’s denial rate. Flag anything over 15%.

Your top five payers and top ten codes are 70 to 80% of your volume, so this small grid covers most of your book. The red cells are your targets, and there usually aren’t many. A Texas practice that ran this found three red cells, added a five-minute pre-submission check on just those, and took first-pass denials from 13% to 7% in sixty days, per the case shared at the 2026 HBMA revenue-cycle session this draws on.

For derm, expect the modifier 25 row to light up under a specific payer. For plastics, expect the prior-auth and medical-necessity cells on the reconstructive codes. You don’t need to fix billing everywhere. You need to fix three boxes.

Print the grid. The boxes that are red this quarter are the ones to defend before the claim goes out.

Reactive (rework) Prevention (pre-bill)
When you catch it On the remit, 30-90 days later Before the claim goes out
What it costs $25+ per claim to rework A few minutes on flagged claims
What gets worked Every denial, oldest first The 2-3 combos that actually deny
The 65% Never reworked — written off Never denied in the first place
Catch It Before It Sends

Pre-bill review beats post-bill rework every time

The cheapest denial is the one that never leaves your building.

Everything above points one direction: move the scrutiny to before submission. Once the remit arrives, the staff time is already spent, the cash is already late, and most of the time nobody is coming back for it. A pre-bill catch is minutes. A post-bill rework is a project.

This isn’t more work across the board. Clean claims — the vast majority — still sail out untouched. You’re adding a short review to the specific flagged combinations, and only those. Total touches go down, not up, because you stop reworking the denials you prevented.

Generally speaking, the practices that win at this aren’t the ones with the biggest billing teams. They’re the ones who decided to stop meeting each denial as a surprise.

Build the check into the flagged combos. Leave the clean claims alone.

Monday

Your denial-prevention plan for Monday

None of this needs a budget. It needs an afternoon and an owner.

Start Monday, no vendor required. One: pull ninety days of denials and tag them by cause — two hours. Two: build the five-by-ten payer-code grid and circle the cells over 15%. Three: add a pre-submission review on those specific combos and name who owns it. Four: track two numbers — first-pass denial rate and AR over 90 days — every month.

Aim at these: first-pass denial under 5%, AR over 90 days under 10%, clean claim rate 95% or better. If both numbers move the right way month over month, the reviews are working.

For the owner, this is the report that tells you whether the leak is closing. For the biller, it’s the afternoon that finally makes the pile smaller. That’s the trade — one afternoon of counting to end months of reworking.

The denial you prevent is the only one that never costs you twice. If you’d rather have someone build the log and the grid with you, that’s a conversation we’re happy to have.

FAQ

Frequently asked questions

Quick answers to the questions we hear most.
Q

What is a good claim denial rate?

Under 5% on first-pass submission is best-in-class; 5-10% is healthy; many practices run 10% or higher, which is where accounts receivable starts to bleed. Track your first-pass denial rate monthly rather than as a one-time number.

Q

How much does it cost to rework a denied claim?

Roughly $25 on average per MGMA benchmarking, and higher for complex coding disputes or appeals, versus about $6 for a claim that goes out clean and stays clean. The cost is the staff time to touch a claim a second, third, or fourth time.

Q

What percentage of denied claims are never reworked?

Industry estimates put it around 60-65%. Those claims age out, exceed timely filing, and become write-offs, which is revenue the practice earned once and then lost quietly.

Q

What causes most claim denials in a dermatology or plastic surgery practice?

They cluster into a few causes: eligibility and registration, prior authorization, coding (modifier 25, unbundling), and medical necessity (benign vs. suspicious lesions, cosmetic vs. functional procedures). Two or three payer-and-code combinations usually drive the majority of the total.

Q

How do you prevent denials instead of reworking them?

Find your top payer-code denial combinations with a denial root-cause log and a payer-behavior grid, then add a short pre-submission review on those specific combinations before claims go out. Prevention costs minutes; rework costs $25-plus per claim and often never happens at all.

This article explains how these codes tend to get paid — it is not coding, billing, or legal advice. Some of the codes here are bundled into the main procedure, or fall into grey areas that vary by payer. Before billing anything in a grey area, confirm it with your own coding and compliance team and the current guidance from your specialty society, Medicare (CMS), and AMA CPT. When in doubt, don’t bill it.

Talk to a specialist

Which payer-code combos are eating your AR?

Send us your denial data and we'll name the three combos eating your AR.

Book a meeting →
JOIN THE TEAM CONTACT US PARTNER WITH US
star